- Predictive Modeling with Logistic Regression (Revisited)
- Technical Terms from Machine Learning
- A Diagrammatic View of Logistic Regression
- Perceptron - A Simple Neural Network Model
- The architecture of a percetron model
- The components of an neural network model
- Loss function and estimatation method
- The use of neural network model: regression and classification
- Inplementation Perceptron Model with R
- Notes and code
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- Optional Reading Assignments
- This book chapter is littlt technical but good introduction to the perceptron model
[PDF]
- Help Document of neuralnet library
PDF [link]
- Written Assignment: Predictive Model - Part I
- Choose a new dataset with a binary response with a medium or large size.
- Perform logistic predictive modeling for prediction
- Perform single-layer neural network model for prediction
Due: 11:30 PM, Thursday, 11/14/2024
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